Parent-Child Dimension Properties - Part 2

After creating our Parent-Child dimension (Part 1), we will see in this second part, the different properties of this dimension.

For this, we keep the same example as before: the dimension of the families (Categories) of a product organized according to a descending hierarchy.

Let's go !!!

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Parent-Child Dimension - Part 1

Parent-Child dimension is a type of dimension that I did not know before (yes we can not know everything), but I had the opportunity to use it as part of a project I worked on; So, I thought it would be a good idea to share with you what I learned about this dimension.

In order to better explain how to create this type of dimension and the options, you need to understand the context of the example which is part of this article.

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Dynamic Partition Management SSAS - 2 Part

Here we are in the 2th part of this article where there is less blah blah but more practice (putting our hands in the leg !!)

In this part, I will explain the steps to follow step by step to create the cube partitions in a dynamic way.

  • Step 1 :

First, prepare the test data, for that, we will work with the database and the cube AdventureWorksDW, you can download the sources as well as the deployment scripts from the links below:

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Dynamic Partition Management SSAS - 1 Part

Working on a data warehouse at a high volume can cause us performance problems to process or query the SSAS Cube.

To fix this kind of problem, you will have to partition the cube, but not just any way, you have to have a well-defined dynamic SSAS partitioning plan.

Let's see how we can design this plan in a BI project ☻

Before starting the implementation of this partitioning plan we will talk in this 1ère part of this article on the advantages and disadvantages of SSAS partitioning.

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Create a Time Dimension with SSAS (DimTime) - 2 Part

After creating our DimTime table in the 1ages part of this article, we will now make some improvements on our dimension.

From experience, I would recommend using a key PKDate int type in format yyyymmdd.

This type of key will allow you to get better performance.

This coding in the format yyyymmdd should be generalized at all levels of our axis time: year, semester, quarter, month, week ... So I suggest that each level (year, semester, quarter, month, week, day) be composed of three distinct attributes:

  • Code
  • Date
  • Last name

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